Publications of O Vinogradov

Giannakakis, E.; Vinogradov, O.; Buendía, V.; Levina, A.: Structural influences on synaptic plasticity: the role of presynaptic connectivity in the emergence of E/I co-tuning. PLOS Computational Biology 20 (10), e1012510 (2024)

Sukenik, N.; Vinogradov, O.; Weinreb, E.; Segal, M.; Levina, A.; Moses, E.: Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America 118 (12), e2018459118 (2021)

Giannakakis, E.; Vinogradov, O.; Buendía, V.; Khajehabdollahi, S.; Levina, A.: Local excitation and lateral inhibition enable the simultaneous processing of multiple signals in recurrent neural networks. In Journal of Computational Neuroscience, 52 (Supplement 1), O5, pp. S8 - S9. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany, July 15, 2023 - July 19, 2023. Kluwer Academic Publishers, Boston (2024)

Vinogradov, O.; Sukenik, N.; Segal, M.; Moses, E.; Levina, A.: Neuronal cultures self-organize towards excitation/inhibition balance. In Bernstein Conference 2020, C 7. Bernstein Conference 2020 , September 29, 2020 - October 01, 2020. (2020)

Iwai, R.; Vinogradov, O.; Logothetis, N.; Levina, A.; Totah, N.: ACC single unit and neuronal population correlates of response conflict versus and error detection in a novel rodent near mistake paradigm. In AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles, p. 20 (Eds. Pezaris, J.; Hatsopoulos, N.). AREADNE 2020: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece, June 16, 2020 - June 20, 2020. The AREADNE Foundation, Cambridge, MA, USA (2020)

Sukenik, N.; Vinogradov, O.; Levina, A.; Segal, M.; Moses, E.: Impact of excitatory/inhibitory compositions on network dynamics and balance in neuronal cultures. In 28th Annual Meeting of the Israel Society for Neuroscience (ISFN 2020), pp. 175 - 176. 28th Annual Meeting of the Israel Society for Neuroscience (ISFN 2020), Eilat, Israel, January 05, 2020 - January 07, 2020. (2020)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory-inhibitory composition on dynamics of cultured hippocampal neurons. In 20th Conference of Junior Neuroscientists (NeNa 2019), T9, p. 11. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany, November 04, 2019 - November 06, 2019. (2019)

Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory-inhibitory composition on neuronal dynamics. In DPG-Frühjahrstagung 2019, BP 15.4. DPG-Frühjahrstagung 2019, Regensburg, Germany, March 31, 2019 - April 05, 2019. (2019)

Levina, A.; Priesemann, V.; Vinogradov, O.; Effenberger, F.: Self-organization of neuronal dynamics by plasticity and adaptation. In Neuroforum, 9 (Supplement 1), S14-3, p. 115. 13th Göttingen Meeting of the German Neuroscience Society, 37th Göttingen Neurobiology Conference, Göttingen, Germany, March 20, 2019 - March 23, 2019. (2019)

Vinogradov, O.: Dynamical principles of network bursting in vitro. Bernstein 2022 Satellite Workshop: Advances in Network Dynamics of In Vitro Neural Systems, Berlin, Germany (2022)

Levina, A.; Vinogradov, O.; Sukenik, N.; Moses, E.: Balance and adaptation in neuronal systems. NEST Conference 2022 (2022)

Zeraati, R.; Vinogradov, O.: Inferring models of neuronal dynamics from data with approximate Bayesian computation. Bernstein Conference 2021 Satellite Workshop: Machine Learning meets Neuroscience: from Spikes to Stimulation (2021)

Schäfer, T.; Giannakakis, E.; Schmidt-Barbo, P.; Levina, A.; Vinogradov, O.: Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Vinogradov, O.; Giannakakis, E.; Uysal, B.; Ron, S.; Weinreb, E.; Lerche, H.; Moses, E.; Levina, A.: Effective excitability: a determinant of the network bursting dynamics revealed by parameter invariance. Bernstein Conference 2024, Frankfurt/Main, Germany (2024)

Giannakakis, E.; Buendia, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Overlapping E/I neuronal assemblies generate rich network dynamics and enable complex computations. Research in Encoding and Decoding of Neural Ensembles (AREADNE 2024), Milos, Greece (2024)

Giannakakis, E.; Buendia, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Distinct excitatory and inhibitory connectivity structures control the dynamics and computational capabilities of recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2024), Lisboa, Portugal (2024)

Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)

Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)

Vasilev, D.; Vinogradov, O.; Iwai, R.; Levina, A.; Totah, N.: Distinct anterior cingulate neurons drive changes-of-mind and monitor past performance. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Vinogradov, O.; Ron, S.; Weinreb, E.; Buendia, V.; Moses, E.; Levina, A.: Dynamical regimes of network bursting in vitro. Bernstein Conference 2022, Berlin, Germany (2022)